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Ziyue (Julius) Yu
Faculty of Applied Sciences Macao Polytechnic University Email: csziyue.yu at outlook.com [X] [Google Scholar] |
- I am a Ph.D. candidate in Computer Applied Technology at Macao Polytechnic University (MPU), jointly advised by Prof. Giovanni Pau from University of Bologna / University of California, Los Angeles, and Dr. Wuman Luo, Prof. Tansim Tse from MPU.
- My research interest focuses on artificial intelligence in healthcare.
- I got my master and bachelor degrees from Hong Kong Baptist University and Zhejiang Chinese Medical University, respectively.
- I am looking for a postdoctoral position in medical AI !
Recent Updates
- Coming soon...
Publications
A Survey on Personalized Document-level Sentiment Analysis
Wenhao Zhu, Jiayue Qiu, Ziyue Yu, Wuman Luo.
Neurocomputing, 2024. [SCIE JCR Q1]
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Wenhao Zhu, Jiayue Qiu, Ziyue Yu, Wuman Luo.
Neurocomputing, 2024. [SCIE JCR Q1]
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Multi-Perspective Patient Representation Learning for Disease Prediction on Electronic Health Records
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau.
Knowledge and Information Systems, 2024. [CCF Rank B, SCIE JCR Q2]
(extended version of ICDM23)
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Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau.
Knowledge and Information Systems, 2024. [CCF Rank B, SCIE JCR Q2]
(extended version of ICDM23)
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MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau.
23rd IEEE International Conference on Data Mining (ICDM), 2023. [CORE Rank A*, CCF Rank B]
(Best-rank Paper)
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Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau.
23rd IEEE International Conference on Data Mining (ICDM), 2023. [CORE Rank A*, CCF Rank B]
(Best-rank Paper)
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Deep Learning Hybrid Models for COVID-19 Prediction
Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau.
Journal of Global Information Management, 2022. [SSCI JCR Q1]
(extended version of IoTBDS21)
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Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau.
Journal of Global Information Management, 2022. [SSCI JCR Q1]
(extended version of IoTBDS21)
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Deep Learning for COVID-19 Prediction based on Blood Test
Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau.
6th International Conference on Internet of Things, Big Data and Security (IoTBDS), 2021. [CORE Rank C]
(Best Student Paper Award)
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Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau.
6th International Conference on Internet of Things, Big Data and Security (IoTBDS), 2021. [CORE Rank C]
(Best Student Paper Award)
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Invited Talks
- Machine Learning on Graph, Faculty of Applied Sciences, Macao Polytechnic University, 2022
- Graph Representation Learning, School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 2021
- How to Give an Effective Presentation, Faculty of Applied Sciences, Macao Polytechnic University, 2021
- Deep Learning on Graph, Institute of Chinese Medical Sciences & State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, 2021
Teaching Experience
- COMP6132 Introduction to Big Data, Fall 2023/2024 (TA)
- COMP6126 E-commerce with Big Data, Spring 2022/2023 (TA)
- COMP8122 Selected Topics in Big Data and Smart Society, Fall 2022/2023 (TA)
- COMP112 Programming I, Fall 2022/2023 (TA)
Selected Awards
- MPU PhD Full Scholarship, 2020 - 2023 [Link]
- Hong Kong Baptist University Merit Scholarship, 2020 [Link]
- The Second Prize of Network and Information Security Contest (CTF), 2018
- The Second Prize of Physics Technology Innovation Contest, 2018
- The Third Prize of Statistical Investigation Scheme Design Contest, 2017
- The Third Prize of Mathematical Contest in Modeling, 2016
Academic Service
I regularly serve as reviewers for following conferences and journals.
- Conference Reviewer: ICDCS, ICLR, KDD, NeurIPS Workshop, IJCNN, CHIL, SMC, ArtInHCI
- Journal Reviewer: Expert Systems With Applications, Engineering Applications of Artificial Intelligence, Journal of Biomedical Informatics, Scientific Reports, Information Fusion, Information Processing and Management, Knowledge and Information Systems, Neurocomputing